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5017 Results

Showing 4921-4930 of 5017 results
Publications
01/13/20 | When does midbrain dopamine activity exert its effects on behavior?
Coddington LT
Nature Neuroscience. 2020 Jan 13;23(2):154-6. doi: 10.1038/s41593-019-0577-y
Publications
05/15/11 | When is weight critical?
Riddiford LM
The Journal of Experimental Biology. 2011 May 15;214(Pt 10):1613-5. doi: 10.1242/jeb.049098
Publications
03/15/22 | When light meets biology - how the specimen affects quantitative microscopy.
Reiche MA, Aaron JS, Boehm U, DeSantis MC, Hobson CM, Khuon S, Lee RM, Chew T
Journal of Cell Science. 2022 Mar 15;135(6):. doi: 10.1242/jcs.259656

Fluorescence microscopy images should not be treated as perfect representations of biology. Many factors within the biospecimen itself can drastically affect quantitative microscopy data. Whereas some sample-specific considerations, such as photobleaching and autofluorescence, are more commonly discussed, a holistic discussion of sample-related issues (which includes less-routine topics such as quenching, scattering and biological anisotropy) is required to appropriately guide life scientists through the subtleties inherent to bioimaging. Here, we consider how the interplay between light and a sample can cause common experimental pitfalls and unanticipated errors when drawing biological conclusions. Although some of these discrepancies can be minimized or controlled for, others require more pragmatic considerations when interpreting image data. Ultimately, the power lies in the hands of the experimenter. The goal of this Review is therefore to survey how biological samples can skew quantification and interpretation of microscopy data. Furthermore, we offer a perspective on how to manage many of these potential pitfalls.

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Publications
05/19/21 | Which image-based phenotypes are most promising for using AI to understand cellular functions and why?
Lundberg E, Funke J, Uhlmann V, Gerlich D, Walter T, Carpenter A, Coehlo LP
Cell Systems. 2021 May 19;12(5):384-387. doi: 10.1016/j.cels.2021.04.012
Publications
02/16/15 | Whisking.
Sofroniew NJ, Svoboda K
Current Biology. 2015 Feb 16;25(4):R137-40. doi: 10.1016/j.cub.2015.01.008

Eyes may be 'the window to the soul' in humans, but whiskers provide a better path to the inner lives of rodents. The brain has remarkable abilities to focus its limited resources on information that matters, while ignoring a cacophony of distractions. While inspecting a visual scene, primates foveate to multiple salient locations, for example mouths and eyes in images of people, and ignore the rest. Similar processes have now been observed and studied in rodents in the context of whisker-based tactile sensation. Rodents use their mechanosensitive whiskers for a diverse range of tactile behaviors such as navigation, object recognition and social interactions. These animals move their whiskers in a purposive manner to locations of interest. The shapes of whiskers, as well as their movements, are exquisitely adapted for tactile exploration in the dark tight burrows where many rodents live. By studying whisker movements during tactile behaviors, we can learn about the tactile information available to rodents through their whiskers and how rodents direct their attention. In this primer, we focus on how the whisker movements of rats and mice are providing clues about the logic of active sensation and the underlying neural mechanisms.

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Publications
11/18/15 | Who is talking to whom: Synaptic partner detection in anisotropic volumes of insect brain.
Kreshuk A, Funke J, Cardona A, Hamprecht FA
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015:661-8. doi: 10.1007/978-3-319-24553-9_81

Automated reconstruction of neural connectivity graphs from electron microscopy image stacks is an essential step towards large-scale neural circuit mapping. While significant progress has recently been made in automated segmentation of neurons and detection of synapses, the problem of synaptic partner assignment for polyadic (one-to-many) synapses, prevalent in the Drosophila brain, remains unsolved. In this contribution, we propose a method which automatically assigns pre- and postsynaptic roles to neurites adjacent to a synaptic site. The method constructs a probabilistic graphical model over potential synaptic partner pairs which includes factors to account for a high rate of one-to-many connections, as well as the possibility of the same neuron to be pre-synaptic in one synapse and post-synaptic in another. The algorithm has been validated on a publicly available stack of ssTEM images of Drosophila neural tissue and has been shown to reconstruct most of the synaptic relations correctly.

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